{"id":"W4205485955","doi":"10.1002/icd.2296","title":"Six solutions for more reliable infant research","year":2021,"lang":"en","type":"article","venue":"Infant and Child Development","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Psychology; Predictive power; Robustness (evolution); Sample size determination; Statistical power; Context (archaeology); Statistical analysis; Statistics; Computer science; Power (physics); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064871,0.0001981903,0.0002608859,0.0001638811,0.00114728,0.00009581549,0.0001621201,0.0001361174,0.0006252243],"category_scores_gemma":[0.0001418585,0.0001823798,0.00006632226,0.0003416498,0.0001236613,0.00006028888,0.0003055601,0.0004048886,0.0002090971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007471954,"about_ca_system_score_gemma":0.0003619474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004373234,"about_ca_topic_score_gemma":0.00007604241,"domain_scores_codex":[0.997687,0.00006583094,0.0004105233,0.0006350614,0.000351457,0.0008500581],"domain_scores_gemma":[0.9989973,0.0001704271,0.00006058539,0.0003101006,0.0002824149,0.000179188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008276285,0.001854521,0.1596605,0.000537377,0.001542118,0.0004457996,0.08106258,0.00006493037,0.001401179,0.3237344,0.3250622,0.1038067],"study_design_scores_gemma":[0.000712174,0.00004351422,0.3198628,0.0001510055,0.000007456479,0.00007591504,0.001047481,0.00001224891,0.0006009273,0.0002742395,0.6769719,0.000240384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.808918,0.009680088,0.0007680673,0.01594598,0.001717824,0.001338093,0.00004785167,0.0002867473,0.1612974],"genre_scores_gemma":[0.9676079,0.0002237903,0.01003871,0.001395409,0.0003497956,0.0003749781,0.000191898,0.00005116775,0.01976634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519097,"threshold_uncertainty_score":0.8824067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05473396279787737,"score_gpt":0.3483109206139312,"score_spread":0.2935769578160538,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}